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Climate Changes Effect On The Agents Involved In Epidemic Diseases: Intelligent Technique Modeling

Volume 1 - Issue 2, August 2017 Edition
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Bouaoud Souad, Bouharati Khaoula, Mahnane Abbas, Bouharati Saddek, Hamdi-Cherif Mokhtar
Virus, Bacteria, Epidemic diseases, climatic change, intelligent systems, fuzzy logic.
Various reasons are considered as causes of decrease or extinction of virus or bacterial species. Some causes are due to changes in climatic conditions, others are due to human intervention such as habitat change or the introduction of other species in competition. All these parameters are characterized by their uncertainty and imprecision. Also, each species reacts in a different way than the other. To analyze the evolution taking place on a given species, we propose an analysis using an intelligent system based on the principles of fuzzy logic. As fuzzy logic deals with uncertainty, its application in this area proves to be adequate. A fuzzy system is constructed with three input variables (climatic conditions, habitat change, and introduction of other species) and an output variable that expresses the nature of the species involved epidemic diseases and there evolution. A rule base is established, which will allow to randomly enter values at the input of the system to instantly read the result at the output.
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